eprintid: 331
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/03/31
datestamp: 2023-11-09 15:15:57
lastmod: 2023-11-09 15:15:57
status_changed: 2023-11-09 15:14:19
type: conference_item
metadata_visibility: show
creators_name: Abdalla, O.A.
creators_name: Zakaria, M.N.
creators_name: Sulaiman, S.
creators_name: Ahmad, W.F.W.
title: Predictions of isolate and normal pentene of debutanizer catalytic reforming unit by using artificial neural network
ispublished: pub
keywords: Backpropagation; Correlation methods; Forecasting; Image classification; Information technology; Statistical tests; Statistics, Ann models; Artificial neural network models; Artificial neural networks; Back-propagation algorithms; Catalytic reforming; Correlation coefficients; Data sets; Debutanizer; Field datums; Input variables; Output variables; Petronas; Standard deviations, Neural networks
note: cited By 0; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115
abstract: This paper presents a feed-forward Artificial Neural Network (ANN) model for prediction of isolate and normal pentene of debutanizer catalytic reforming unit. Temperature, reflux flow, and flow rate are used as input variables to the network. Isolate pentene (iC5), and normal pentene (nC5) are employed as the output variable. About 500 field data collected from PETRONAS Penapisan (Melaka) Sdn Bhd were used to develop the ANN model. The developed ANN model is obtained by dividing the collected data set into three different group; training, validation, and testing group. Back-propagation algorithm was used to train the network. A correlation coefficient of 0.999 was obtained with standard deviation of 0.006 for iC5. For nC5 a 0.999 correlation coefficient and 0.005 standard deviation obtained. © 2008 IEEE.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349111311&doi=10.1109%2fITSIM.2008.4631544&partnerID=40&md5=445a6dc4f744c24a4246f23ca3ba6fb7
id_number: 10.1109/ITSIM.2008.4631544
full_text_status: none
publication: Proceedings - International Symposium on Information Technology 2008, ITSim
volume: 1
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424423286
citation:   Abdalla, O.A. and Zakaria, M.N. and Sulaiman, S. and Ahmad, W.F.W.  (2008) Predictions of isolate and normal pentene of debutanizer catalytic reforming unit by using artificial neural network.  In: UNSPECIFIED.